Deep learning applications in dentistry: a bibliometric review analysis and mapping (2014–2024)
Yazarlar (4)
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Selçuk Üniversitesi, Türkiye
Arş. Gör. Mediha Erturk Necmettin Erbakan Üniversitesi, Türkiye
Melek Tassoker
Necmettin Erbakan Üniversitesi, Türkiye
Necmettin Erbakan Üniversitesi, Türkiye
Murat Koklu Selçuk Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | Iran Journal of Computer Science | ||
| Dergi ISSN | 2520-8438 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2025 |
| Kabul Tarihi | 26-12-2024 | Yayınlanma Tarihi | 23-01-2025 |
| Cilt / Sayı / Sayfa | 8 / 2 / 253–270 | DOI | 10.1007/s42044-024-00226-4 |
| Makale Linki | https://doi.org/10.1007/s42044-024-00226-4 | ||
| UAK Araştırma Alanları |
Bilgi Güvenliği ve Kriptoloji
Görüntü İşleme
Yapay Zeka
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| Özet |
| The application of deep learning techniques in dentistry has revolutionized the diagnostic and treatment approaches. This study aims to evaluate the impact and trends of deep learning methodologies in dentistry through a bibliometric analysis. A comprehensive search in the Web of Science database yielded 1228 articles published between 2014 and 2024. Bibliometric analyses, including keyword co-occurrence, co-authorship, citation patterns, and collaborative networks, were conducted using VOSviewer software. Remarkably, 94.95% of these publications were released after 2018, showcasing a significant surge in research interest in recent years. The USA and Japan emerged as leading contributors, accounting for 20.6% and 18.48% of the articles, respectively. Notable institutions, such as Tokyo Medical and Dental University, stood out with 88 publications. Key contributors like Orhan Kaan, Schwendicke … |
| Anahtar Kelimeler |
| Bibliometric analysis · Deep learning · Dentistry · VOSviewer · Web of science |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 8 |